The ntnu-yzu system in the aesw shared task: Automated evaluation of scientific writing using a convolutional neural network

Lung Hao Lee, Bo Lin Lin, Liang Chih Yu, Yuen Hsien Tseng

研究成果: 書貢獻/報告類型會議論文篇章

3 引文 斯高帕斯(Scopus)

摘要

This study describes the design of the NTNU-YZU system for the automated evaluation of scientific writing shared task. We employ a convolutional neural network with the Word2Vec/GloVe embedding representation to predict whether a sentence needs language editing. For the Boolean prediction track, our best F-score of 0.6108 ranked second among the ten submissions. Our system also achieved an F-score of 0.7419 for the probabilistic estimation track, ranking fourth among the nine submissions.

原文英語
主出版物標題Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics
主出版物子標題Human Language Technologies, NAACL-HLT 2016
編輯Joel Tetreault, Jill Burstein, Claudia Leacock, Helen Yannakoudakis
發行者Association for Computational Linguistics (ACL)
頁面122-129
頁數8
ISBN(電子)9781941643839
出版狀態已發佈 - 2016
事件11th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016 - San Diego, 美国
持續時間: 2016 6月 16 → …

出版系列

名字Proceedings of the 11th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016

會議

會議11th Workshop on Innovative Use of NLP for Building Educational Applications, BEA 2016 at the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT 2016
國家/地區美国
城市San Diego
期間2016/06/16 → …

ASJC Scopus subject areas

  • 電腦科學應用
  • 人工智慧
  • 語言與語言學
  • 語言和語言學

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